Wasserstein Weisfeiler-Lehman Graph Kernels
☆88Sep 1, 2024Updated last year
Alternatives and similar repositories for WWL
Users that are interested in WWL are comparing it to the libraries listed below
Sorting:
- A Python implementation of a fast approximation of the Weisfeiler-Lehman Graph Kernels.☆24Jun 11, 2019Updated 6 years ago
- A scikit-learn compatible library for graph kernels☆638Jul 26, 2025Updated 7 months ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆63Jun 9, 2021Updated 4 years ago
- Graph Homomorphism Convolution (ICML'20)☆12Jul 6, 2023Updated 2 years ago
- ☆16Apr 11, 2020Updated 5 years ago
- Source code of GResNet☆17Sep 16, 2020Updated 5 years ago
- A package for computing Graph Kernels☆103Jul 21, 2023Updated 2 years ago
- PyTorch Codes for Haar Graph Pooling☆11Feb 16, 2023Updated 3 years ago
- Approximate subgraph motif mining through learnable edge contraction.☆15Aug 3, 2023Updated 2 years ago
- ☆51Dec 12, 2024Updated last year
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Jan 22, 2021Updated 5 years ago
- A fork of Sebastian Nowozin's and Koji Tsuda's gboost code☆17Mar 5, 2013Updated 13 years ago
- Implementation of the Multiscale Laplacian Graph Kernel☆19Nov 21, 2019Updated 6 years ago
- [NeurIPS 2020]. COPT - Coordinated Optimal Transport on Graphs☆16Dec 22, 2020Updated 5 years ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆116Sep 9, 2024Updated last year
- ☆12Apr 16, 2020Updated 5 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆54May 5, 2020Updated 5 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆190Mar 22, 2022Updated 3 years ago
- ☆12Jan 29, 2022Updated 4 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Jan 28, 2020Updated 6 years ago
- Egocentric Temporal Motifs Miner☆12Nov 9, 2021Updated 4 years ago
- ETNgen: A temporal graph generator based on Egocentric Temporal Motifs☆14Aug 11, 2023Updated 2 years ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Jun 6, 2022Updated 3 years ago
- Differentiable Euler Characteristic Transform☆17Jun 18, 2024Updated last year
- Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"☆43Nov 17, 2023Updated 2 years ago
- ☆32Sep 22, 2021Updated 4 years ago
- Learning Graphons via Structured Gromov-Wasserstein Barycenters☆23Dec 13, 2020Updated 5 years ago
- ☆15Jul 8, 2024Updated last year
- Gaussian Embedding of Large-scale Attributed Graphs☆10Mar 13, 2020Updated 6 years ago
- ☆10Jul 25, 2024Updated last year
- Comparative metrics for dynamic networks in Python☆71Dec 22, 2022Updated 3 years ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Aug 8, 2023Updated 2 years ago
- Distance Encoding for GNN Design☆188Mar 20, 2021Updated 5 years ago
- A python package for graph kernels, graph edit distances, and graph pre-image problem.☆128Jun 7, 2025Updated 9 months ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆33Feb 7, 2019Updated 7 years ago
- Github page for the paper "Variational Recurrent Neural Networks for Graph Classification" presented at the RLGM workshop of ICLR 2019☆13Oct 21, 2020Updated 5 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆102Jun 21, 2020Updated 5 years ago
- This paper studies the problem of cross-network node classification to overcome the insufficiency of labeled data in a single network. It…☆25Apr 5, 2022Updated 3 years ago
- ☆49Jul 15, 2019Updated 6 years ago